It’s true that the world is becoming increasingly digital. We’re all on our phones scrolling Facebook, Instagram, and Twitter in between taking selfies for Snapchat. But there are still some parts of life that require physicality to be safe.
These are areas where AI video analytics come into play when it comes to public safety. Law enforcement agencies have since relied on video surveillance systems and their security personnel to ensure that everyone in the community is protected and safe.
Police officers have now relied on video analytics technology, data analytics, and other video feeds, providing real-time video analytics and surveillance data in solving cases, monitoring the community, and keeping them safe, along with sensitive data.
To this end, video analytics technology is very useful for public safety.
Some More Essential Uses Of AI Video Analytics For Public Safety.
1. Helps Crime Prevention And Predictive Policing:
One of the most useful applications for AI video analytics is that it can be used to help stop crimes before they even happen. Video surveillance systems with facial recognition can identify wanted criminals or terrorist suspects in a crowd.
For example, if there is a known terrorist suspect that the police are looking for, an AI video analytics system can be used to scan through footage from CCTV cameras to see if they are in the area.
If they are, law enforcement can be alerted immediately and take appropriate action. Through artificial intelligence, police departments can increase response times and mitigate crimes.
2. For Public Safety Generates Actionable Data:
AI video analytics software helps produce actionable data through pattern recognition and other analytics capabilities. The AI bot can display such data in real-time, allowing security personnel and law enforcement to respond accordingly to keep the public safe from any possible harm.
Crime mapping is another valuable application of video analytics. It is done by understanding where crimes are happening and when police departments can better allocate their resources to prevent future crime in those areas.
Additionally, video analytics is also being used to increase public safety. For instance, gunshot detection systems use audio analysis algorithms to alert law enforcement agencies to detect gunshots immediately.
Similarly, some cities are using AI to identify and track license plates of vehicles that have been flagged as being associated with a crime. This helps law enforcement quickly identify and track down vehicles involved in criminal activity.
With the help of AI and video analytics, law enforcement can also use heat maps to see hotspots for criminal activity. This information can then be used to deploy officers to those areas to help prevent crimes.
AI video analytics can also predict crime by analyzing criminal patterns, thus allowing police departments and other security personnel to be proactive in their approach to public safety.
3. To Monitor Traffic And Road Conditions For Smart City Solutions
As a part of the smart city movement, video analytics is used to make cities more intelligent and efficient. Smart cities use AI video analytics for applications such as traffic monitoring, easing traffic congestion, parking management, public safety, and security.
For example, by tracking the flow of vehicles and pedestrians through traffic cameras, municipalities can optimize traffic light timing to reduce congestion and improve overall traffic flow.
Similarly, by tracking the number of available parking spots in real-time, municipalities can direct drivers to the nearest open spot reducing time spent looking for a parking spot.
4. Video Surveillance Can Assist Law Enforcement In Monitoring
Public Places
With AI video surveillance, police officers can monitor commercial centers, airports, train stations, and government buildings. The latest generation of AI video analytics software is especially valuable for use in public places.
A police officer can be alerted if an object or person has moved past a restricted area or if a person has been in an area for too long.
For example, AI video analytics can be used to monitor borders and crossings to detect if someone has illegally crossed into a country. Additionally, AI video analytics can monitor large crowds at public events to identify any potential security threats.
Moreover, they can also rely on various public safety applications that use computer vision in monitoring, such as the early detection of fires, hazardous materials, and fights.
AI also allows the same person to control the information they get from various sources, such as body cameras, license plate numbers, and other life-saving information that will help them send real-time alerts to people who need it the most.
5. Participating In The Identification Of Nonviolent Violations.
AI is great at spotting patterns that humans would miss. By having AI review video footage for traffic violations and parking infractions, cities can save time and money by reducing the number of unnecessary tickets.
For example, some cities use AI algorithms to automatically identify vehicles that run stop signs or illegally park in handicapped spots. This allows law enforcement to focus their time on more serious violations.
AI technology has proven to be great at identifying counterfeit goods, which can be challenging for humans to spot. Microscopic photos of an item can be taken to examine and identify if the product is genuine or counterfeit.
Furthermore, since AI is superb at detecting anomalies, it is an ideal tool for identifying financial frauds such as credit card theft and expense account abuse. AI machines can recognize the good and bad changes in a company’s reports or transactions and reject fraudulent expenditures.
6. Businesses Can Use Video Surveillance To Monitor Employees
And Visitors
Video surveillance has allowed both businesses and law enforcement agencies to monitor employees and visitors. Business owners can now rely on video feeds given by camera networks and other surveillance technologies to help police departments and local governments with more detailed insights and actionable intelligence.
Moreover, they will also be able to monitor criminal behavior prevalent in their area and the businesses. It can help dispatch officers target the right person through features such as video understanding and other public safety applications being used in many cities nowadays.
7. Easily Keep Track Of Groups That Are Involved In Illegal Activities
The AI, the video analytics software, makes it easier for police departments to keep track of individuals or groups that are involved in illegal activities. The software can identify the vehicle’s license plate number and alert the police if it is on a list of known stolen vehicles.
The software can also track the movements of an individual or group of people, helping to build a profile that law enforcement agencies can use. In addition, AI technology helps keep track of criminals who have been released from prison or are on parole.
With artificial intelligence AI, the software can learn suspicious behaviors of individuals and alert law enforcement via live feeds. Furthermore, AI also helps with the identification of repeat offenders who have been arrested on a prior charge.
In Conclusion
Gone are the days when police officers would scour every inch of the city searching for the thief who ransacked the local grocery store last night. With AI playing a huge role in tracking people and their whereabouts, it has made the lives of our law enforcers much easier.
And today, local governments could consider many areas with a history of violence or high crime rates at risk. But recent advances in technology have given us new security and crime prevention tools.
With full access to AI video analytics, homeland security can now better assess threats and mitigate risk, deploy the necessary resources to protect the public sector, and ultimately save lives and reduce the crime rate.
Author Bio:
Paul Sun is a seasoned technology executive and serial entrepreneur with multiple successes in venture capital-funded companies.
Paul was involved in AI research at the fifth-generation computer research consortium MCC in the early 80s. Currently, he is the President and CEO of IronYun, a video search, and mining company.
